A Prototype Driver Assistant System Based on Millimeter-Wave Radar and Machine Vision

People pay more and more attention on the active safety technologies in Modern traffic. This paper develops a driving assistant system with the lane departure warning and forward collision warning functions. The system uses data fused from millimeter-waves radar and machine vision to implement detecting the front lane and vehicles ahead, to meet the requirement of accuracy, real-time and robustness in actual road environment. After analyzing information of targets ahead using for target location information, through establishing a unified coordinate system model, ROI (Region of interest) is defined according to the different candidate characteristics. Therefore, the search speed is improved greatly and the interference is reduced significantly. Finally, experiments demonstrate the feasibility of this system.

• Record URL:
  • https://doi.org/10.1061/41177(415)120
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411773
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Rong, Hui
  • He, Jia
  • Huang, Wei
• Conference:
  • First International Conference on Transportation Information and Safety (ICTIS)
  • Location: Wuhan , China
  • Date: 2011-6-30 to 2011-7-2
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Bibliography; Figures;
• Pagination: pp 950-956
• Monograph Title: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation

Subject/Index Terms

• TRT Terms: Computer vision; Driver support systems; Image analysis; Radar; Traffic crashes; Traffic safety
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment; I70: Traffic and Transport; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01471165
• Record Type: Publication
• ISBN: 9780784411773
• Files: TLIB, TRIS, ASCE
• Created Date: Feb 1 2013 10:06AM